A CLI-based tool for querying public bird song detection data and wildlife trends from BirdWeather stations globally.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install birdweather
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install birdweather using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
BirdWeather is a specialized tool designed to interact with the BirdWeather ecosystem, which aggregates data from BirdNET-Pi and PUC bird song detection stations. It provides developers and researchers with a direct interface to query real-time wildlife audio monitoring data without requiring an API key. This integration is a valuable addition to the ecosystem of Openclaw Skills, enabling deep insights into local avian activity and biodiversity through public station data.
Users can retrieve detailed station information, list detected species over specific timeframes, and identify high-frequency detections in their area. By leveraging the power of Openclaw Skills, this tool simplifies the process of monitoring environmental health and bird migration patterns through a clean and efficient CLI interface.
To get started with this component of Openclaw Skills, ensure you have the script available in your local repository. No external pip dependencies are required as it uses the Python standard library.
# Navigate to your scripts directory
cd scripts/
# Run a test command to get station info
python3 birdweather.py station <station_id>
# Query species for the current week
python3 birdweather.py species <station_id> --period week
| Data Point | Description | Format |
|---|---|---|
| Station Data | Name, location, online status, and last activity | Markdown/JSON |
| Detection Count | Frequency of specific bird song identifications | Integer |
| Species Identity | Common name and Scientific name (e.g., Cyanistes caeruleus) | String |
| Temporal Data | Specific date ranges or predefined periods (day, week, month) | ISO Date |
| Comparisons | Delta changes between two distinct timeframes | Text Summary |
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